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Below, we recommend some resources so you can get started with Jupyter being a development device

Though Jupyter is a language-independent framework, the rule infrastructure it self is written in Python. Hence, the way that is easiest to have Jupyter in a cross-platform way is always to use a circulation of Python, such as for instance Anaconda, that incldues Jupyter as being a package. We won’t go into detail at the moment on how to use Jupyter; below, we suggest some resources for getting started with Jupyter as a programming tool since we want to focus in this post on how to write papers rather than on the programming aspects. For the present time, we give attention to getting Jupyter installed and operating.

On Windows, we are able to once once again count on Chocolatey:

On Linux and macOS / OS X, the procedure is very little more difficult.

To get going utilizing Juyter Notebook, we suggest the after tutorial: